Senior Software Engineer, Isomorphic Labs
Quality Platform
3+ days a week in office
Isomorphic Labs is applying frontier AI to solve all disease
Job no longer available
Isomorphic Labs is applying frontier AI to solve all disease
201-500 employees
Job no longer available
3+ days a week in office
201-500 employees
Company mission
Isomorphic Labs is a digital biology company, developing and applying frontier AI to reimagine and advance the drug design process from first principles. This will help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with a mission to solve all disease.
Role
Who you are
- Experience with modern Test Engineering tools and processes (e.g. Selenium WebDriver, Cypress, Cucumber, etc) using any programming language (e.g. TypeScript, Python, etc.)
- Demonstrated understanding of software system architecture and experience in independently creating strong automation focused test strategies integrated into the engineering, release and product development life cycles
- Experience building automation frameworks and/or test infrastructure from scratch, writing and running test scripts in continuous integration manner (CI/CD), and summarising results in the context of the system as a whole
- Experience developing comprehensive test plans, thorough test protocols, and delivering test reports based on the continuous automated and manual testing signal of the large multi-component software systems
- Excellent written, communication and interpersonal skills, with meticulous attention to detail that extends beyond written and verbal communication
Desirable
- A background in software engineering before moving into a test engineering role
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience
- Basic knowledge of biology / chemistry
- Pharma and/or biotech industry experience, ideally with a focus on drug discovery
- Familiarity with Google Cloud Platform
- Passionate about automated testing, driving high-quality product development
- Experience working in fast-paced startup environments and successfully working on multiple products simultaneously as test lead or the only test engineer on a complete software system
- Experience with Accessibility, API, Database and Performance testing
- Experience working as a software test engineer on a safety-critical regulated product (i.e. med device)
What the job involves
- Develop flexible testing frameworks for the technology organisation to use, encompassing several key areas - data stores and data management pipelines, machine learning models in research and production stages of development, our drug design computational platform, and variety of internal tools
- Work with product, UX and engineering teams on test design and implementation, advocate for testability and product quality with an emphasis on quality assurance
- Assist with the creation of specific tests and test suites as required
- Communicate testing and product quality status to various levels of the organisation. Drive communications and consistently deliver accurate product quality snapshots with automated and manual test metrics for stakeholders
- Perform ad hoc and exploratory testing to find defects before the product is in the hands of users. Follow up on defects and regressions to improve product quality and provide input on factors that influence product excellence
Salary benchmarks
Our take
The discovery of new drugs is essential for medical innovations, but the process is lengthy, high-risk, and expensive. This is due to manual research and analysis processes that are prone to human error and time-consuming workflows, raising the question as to whether AI could reduce these pitfalls.
Rather than bolting machine learning onto the existing drug discovery process, Isomorphic Labs is reimagining everything from first principles with an AI-first approach, leveraging machine learning to build predictive and generative models of biological phenomena to understand how novel drugs could perform. And the company differentiates itself from other AI-driven drug discovery startups by being a direct subsidiary of Alphabet, with access to resources, computing power, and partnerships with teams within DeepMind.
Now, the company is gearing up for its biggest leap yet - testing its AI-designed medicines on real people. After years of development, big-name partnerships, and a $600M funding round, Isomorphic says human clinical trials are finally within reach. In its London offices, scientists and AI are already teaming up to design potential treatments for diseases like cancer. The next step is putting those drugs to the test.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
30% female employees
Company
Funding (1 round)
Mar 2025
$600m
LATE VC
Total funding: $600m
Company benefits
- Pension contribution
- Health and wellness benefits
- Enhanced parental support
- Development opportunities
- Hybrid model: It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in).
Company values
- Thoughtful: Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day
- Brave: Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less
- Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we
- Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere
Company HQ
London, UK
Articles
Leadership
Demis Hassabis
(Co-Founder & CEO)Co-founded Google DeepMind in 2010 and has served as the CEo ever since.
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